Here is a [recently developed] tool for analyzing the choices, risks, objectives, monetary gains, and information needs ...

Abstract: Federated learning (FL) is a distributed machine learning technique that enables multiple decentralized clients to develop a model collaboratively without exchanging their local data.

In today's data-rich environment, business are always looking for a way to capitalize on available data for new insights and ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...

Abstract: Monotonic classification is a special ordinal classification task that involves monotonicity constraints between features and the decision. Monotonic feature selection can reduce ...